MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641087331 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on July 16, 2026, for An Automated Facial Recognition-Based Punctuality Analysis And Attendance Management System For Smart Educational Institutions.
Inventors include Dr. Deepak Sukheja; Dr. Anjusha Nitin Pimpalshende; and Dr. N. Sandeep Chaitanya.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT [0020] In academic institutions, managing attendance and ensuring punctuality are vital for maintaining discipline, enhancing academic accountability, and optimizing institutional efficiency. Traditional attendance methods such as manual roll calls, biometric scans, and RFID systems are often time-consuming, error- prone, or vulnerable to proxy manipulation. This project proposes a smart, contactless, and automated solution through an Automated Punctuality Analysis System based on real-time facial recognition technology. The system captures live video feeds, detects and recognizes faces using deep learning-based models, and logs entry and exit times automatically. It further validates these timestamps against predefined schedules to classify attendance behavior as On-time, Late, or Early Exit. Built using Python, Flask, OpenCV, and the face_recognition library, the platform includes a web-based dashboard for administrators, faculty, and students to view punctuality metrics and export detailed reports.The solution enhances operational transparency, eliminates human error, and significantly reduces the administrative burden. By integrating face recognition with punctuality analytics and centralized reporting, this system represents a step forward in creating smart, AI-driven educational environments that emphasize discipline, automation, and data integrity.
Disclaimer: Curated by HT Syndication.
